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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
video_id: string
image_name: string
image_path: string
source_line_count: int64
region_count: int64
regions: list<item: struct<region_id: string, index: int64, points: list<item: list<item: double>>, crop_bbox (... 502 chars omitted)
  child 0, item: struct<region_id: string, index: int64, points: list<item: list<item: double>>, crop_bbox_xyxy: list (... 490 chars omitted)
      child 0, region_id: string
      child 1, index: int64
      child 2, points: list<item: list<item: double>>
          child 0, item: list<item: double>
              child 0, item: double
      child 3, crop_bbox_xyxy: list<item: int64>
          child 0, item: int64
      child 4, bbox_xyxy: list<item: int64>
          child 0, item: int64
      child 5, polygon_area: double
      child 6, confidence_mean: double
      child 7, line_count: int64
      child 8, text_hint: string
      child 9, lines: list<item: struct<line_id: int64, text: string, confidence: double, points: list<item: list<item: do (... 233 chars omitted)
          child 0, item: struct<line_id: int64, text: string, confidence: double, points: list<item: list<item: double>>, bbo (... 221 chars omitted)
              child 0, line_id: int64
              child 1, text: string
              child 2, confidence: double
              child 3, points: list<item: list<item: double>>
                  child 0, item: list<item: double>
                      child 0, item: double
              child 4, bbox_xyxy: list<item: int64>
                  child 0, item: int64
              child 5, polygon_area: double
              child 6, detections: list<item: struct<det_id: int64, text: string, confidence: double, points: list<item: list<item: dou (... 59 chars omitted)
                  child 0, item: struct<det_id: int64, text: string, confidence: double, points: list<item: list<item: double>>, bbox (... 47 chars omitted)
                      child 0, det_id: int64
                      child 1, text: string
                      child 2, confidence: double
                      child 3, points: list<item: list<item: double>>
                          child 0, item: list<item: double>
                              child 0, item: double
                      child 4, bbox_xyxy: list<item: int64>
                          child 0, item: int64
                      child 5, polygon_area: double
      child 10, crop_hash: string
images: int64
ignored_bottom_ticker_detections: int64
detect_backend: string
bottom_ticker_start_ratio: double
stitched_lines: int64
kept_detections: int64
detect_device: string
grouped_regions: int64
min_score: double
skipped_images: int64
skipped_image_details: list<item: null>
  child 0, item: null
to
{'video_id': Value('string'), 'detect_backend': Value('string'), 'detect_device': Value('string'), 'images': Value('int64'), 'kept_detections': Value('int64'), 'ignored_bottom_ticker_detections': Value('int64'), 'stitched_lines': Value('int64'), 'grouped_regions': Value('int64'), 'skipped_images': Value('int64'), 'skipped_image_details': List(Value('null')), 'min_score': Value('float64'), 'bottom_ticker_start_ratio': Value('float64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 478, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              video_id: string
              image_name: string
              image_path: string
              source_line_count: int64
              region_count: int64
              regions: list<item: struct<region_id: string, index: int64, points: list<item: list<item: double>>, crop_bbox (... 502 chars omitted)
                child 0, item: struct<region_id: string, index: int64, points: list<item: list<item: double>>, crop_bbox_xyxy: list (... 490 chars omitted)
                    child 0, region_id: string
                    child 1, index: int64
                    child 2, points: list<item: list<item: double>>
                        child 0, item: list<item: double>
                            child 0, item: double
                    child 3, crop_bbox_xyxy: list<item: int64>
                        child 0, item: int64
                    child 4, bbox_xyxy: list<item: int64>
                        child 0, item: int64
                    child 5, polygon_area: double
                    child 6, confidence_mean: double
                    child 7, line_count: int64
                    child 8, text_hint: string
                    child 9, lines: list<item: struct<line_id: int64, text: string, confidence: double, points: list<item: list<item: do (... 233 chars omitted)
                        child 0, item: struct<line_id: int64, text: string, confidence: double, points: list<item: list<item: double>>, bbo (... 221 chars omitted)
                            child 0, line_id: int64
                            child 1, text: string
                            child 2, confidence: double
                            child 3, points: list<item: list<item: double>>
                                child 0, item: list<item: double>
                                    child 0, item: double
                            child 4, bbox_xyxy: list<item: int64>
                                child 0, item: int64
                            child 5, polygon_area: double
                            child 6, detections: list<item: struct<det_id: int64, text: string, confidence: double, points: list<item: list<item: dou (... 59 chars omitted)
                                child 0, item: struct<det_id: int64, text: string, confidence: double, points: list<item: list<item: double>>, bbox (... 47 chars omitted)
                                    child 0, det_id: int64
                                    child 1, text: string
                                    child 2, confidence: double
                                    child 3, points: list<item: list<item: double>>
                                        child 0, item: list<item: double>
                                            child 0, item: double
                                    child 4, bbox_xyxy: list<item: int64>
                                        child 0, item: int64
                                    child 5, polygon_area: double
                    child 10, crop_hash: string
              images: int64
              ignored_bottom_ticker_detections: int64
              detect_backend: string
              bottom_ticker_start_ratio: double
              stitched_lines: int64
              kept_detections: int64
              detect_device: string
              grouped_regions: int64
              min_score: double
              skipped_images: int64
              skipped_image_details: list<item: null>
                child 0, item: null
              to
              {'video_id': Value('string'), 'detect_backend': Value('string'), 'detect_device': Value('string'), 'images': Value('int64'), 'kept_detections': Value('int64'), 'ignored_bottom_ticker_detections': Value('int64'), 'stitched_lines': Value('int64'), 'grouped_regions': Value('int64'), 'skipped_images': Value('int64'), 'skipped_image_details': List(Value('null')), 'min_score': Value('float64'), 'bottom_ticker_start_ratio': Value('float64')}
              because column names don't match

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